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View this resume online with links at www.jamesgammerman.com/resume

Contact

Language Skills

R
Python
SQL
Bash
MATLAB
Javascript
HTML
CSS

More info

See full CV at www.jamesgammerman.com/cv for more complete list of positions and accomplishments.

Main

James Gammerman

Education

MSc, Machine Learning

Royal Holloway University

London, UK

2018 - 2016

  • Grade: Distinction
  • Selected modules: Deep Learning, Tree-based methods, Regression, Unsupervised Learning, Natural language processing, Large-scale Data Analytics (Big Data)
  • Thesis: Predictive Maintenance with Conformal and Probabilistic Prediction - A Commercial Case Study. Won best thesis award.

MSci, Chemistry

Imperial College

London, UK

2013 - 2009

  • Grade: 2:1
  • Masters project in computational chemical physics: Heat Transfer in Ionic Liquids

Professional Experience

Data Scientist

Centrica

London, UK

Current - 2017

  • Responsible for data exploration and cleaning, feature engineering, modelling and reporting/deployment
  • Participated in several value-adding projects related to predictive maintenance, revenue forecasting and safety incidents
  • Gained experience with modern ML frameworks such as Tensorflow and Apache Spark and cloud architectures such as AWS and Microsoft Azure
  • Also responsible for some employee training and recruitment (see below)

Business Analyst

ExxonMobil

London, UK

2017 - 2013

  • Numerous analytical tasks relating to European gas and power markets

Academic Publications

Journal article: Multi-level conformal clustering: A distribution-free technique for clustering and anomaly detection

Neurocomputing, Volume 397, 2020, pp. 279-291

N/A

2020

  • Introduces a novel clustering technique which also incorporates anomaly detection

Poster abstract: Conformal Anomaly Detection based on Association Rules

Proceedings of Machine Learning Research, Volume 105, 2019, pp.246-7

N/A

2019

  • Introduces a novel machine learning technique for database cleaning

Talks and Teaching

Workshop: Business Analytics in R - An Introduction to Statistical Programming

Centrica

Various Locations

Current - 2018

  • I have presented this workshop several times to company employees across the UK.

Talk: Machine Learning: Progress & Prospects

Odessa (Mechnikov) University

Odessa, Ukraine

2018

  • Guest lecture at Data Science meetup; available on Youtube.